Alternatives and similar repositories for TGX:

Users that are interested in TGX are comparing it to the libraries listed below

• fpour / TGB_Baselines
  TGB baselines for dynamic link property prediction
  ☆21Updated last month
• fpour / DGB
  Dynamic Graph Benchmark
  ☆73Updated 2 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆63Updated 4 months ago
• gravins / dynamic_graph_benchmark
  The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
  ☆20Updated 7 months ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆31Updated last year
• snap-stanford / CAW
  ☆77Updated 2 years ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆209Updated last month
• MGitHubL / Deep-Temporal-Graph-Clustering
  ☆39Updated 2 months ago
• AaltoPML / PINT
  ☆18Updated 2 years ago
• snap-stanford / roland
  ☆133Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆41Updated 3 months ago
• GraphPKU / NeuralCommonNeighbor
  ☆40Updated 6 months ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆55Updated 2 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆217Updated last year
• DeepGraphLearning / GraphAny
  GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
  ☆123Updated 2 weeks ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆79Updated last year
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆107Updated last year
• melifluos / subgraph-sketching
  code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
  ☆91Updated last year
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆76Updated 3 months ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆87Updated 3 years ago
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆53Updated 2 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• syleeheal / AERO-GNN
  The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.
  ☆28Updated 8 months ago
• seven-echo / dynamic-graph-embedding-method
  dynamic graph/network embedding/representation methods
  ☆16Updated 4 years ago
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆28Updated last year
• Xi-yuanWang / GLASS
  GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
  ☆31Updated 2 years ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆37Updated last year
• giuliacassara / awesome-hypergraph-learning
  A curated list of awesome Hypergraph Learning frameworks, libraries and software.
  ☆21Updated last year
• OneForward / UniGNN
  Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).
  ☆63Updated 3 years ago
• manhtuando97 / KDD-20-Hypergraph
  Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"
  ☆31Updated 3 months ago